Exploring Machine Learning Applications in Pediatric Asthma Management: Scoping Review.
Tanvi OjhaAtushi PatelKrishihan SivapragasamRadha SharmaTina VosoughiBecky SkidmoreAndrew David PintoBanafsheh HosseiniPublished in: JMIR AI (2024)
This review highlights the diverse application of ML in predicting pediatric asthma outcomes, with each model offering unique strengths and challenges. Future research should address data quality, increase sample sizes, and enhance model interpretability to optimize ML utility in clinical settings for pediatric asthma management.